Review research documents using the Rule of 5 methodology.
npx skills add https://github.com/charly-vibes/wai --skill research-review
Please help me install this Agent Skill. Skill: research-review Source: https://github.com/charly-vibes/wai/tree/main/.agents/skills/research-review Command: npx skills add https://github.com/charly-vibes/wai --skill research-review
This Skill automates the rigorous review of research documents, ensuring accuracy, completeness, clarity, and actionable insights before they are integrated into project workflows.
Review the research document located at 'research/model-evaluation.md' using the Rule of 5 methodology.
High-intent search queries and answers about installing and using this skill.
To automate research document review, you can use an iterative process that evaluates claims against evidence and identifies knowledge gaps. This method assesses accuracy, completeness, clarity, and actionability to ensure research is ready for project integration.
The Rule of 5 methodology is a structured, five-pass iterative review process. It evaluates research documents across five quality aspects—accuracy, completeness, clarity, actionability, and context integration—refining the assessment until a quality threshold is met.
To check for knowledge gaps before project integration, perform a deep-dive structural coherence analysis. This evaluates claims against available evidence, flags missing information, and verifies practical applicability for decision-making.
Yes, iterative refinement can assess research document actionability. By performing multiple review passes and convergence checks, the process verifies practical applicability and ensures the document yields actionable insights for decision-making workflows.
Automated research document review supports project context integration by evaluating how well the document aligns with existing workflows. It analyzes structural coherence and practical applicability to ensure insights are actionable within the broader project.
An iterative review process for document analysis requires multiple passes to reach convergence, which may demand more processing time. It relies on a structured output format for each pass and requires a final convergence assessment to verify quality thresholds.
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